AIMC Topic: Receptor, ErbB-2

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AI microscope facilitates accurate interpretation of HER2 immunohistochemical scores 0 and 1+ in invasive breast cancer.

Scientific reports Aug 11, 2025
Accurate interpretation of human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) scores 0 and 1+ is crucial for treating HER2-low breast cancer patients with antibody-drug conjugates. To improve diagnostic precision, we developed...
Breast Neoplasms Microscopy Immunohistochemistry Receptor, ErbB-2 Humans Artificial Intelligence Retrospective Studies Female
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Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data.

Scientific reports Jul 24, 2025
This study integrates ultrasound Radiomics with clinical data to enhance the diagnostic accuracy of HER-2 expression status in breast cancer, aiming to provide more reliable treatment strategies for this aggressive disease. We included ultrasound ima...
Humans Female Aged Adult Deep Learning Ultrasonography Ultrasonography, Mammary Receptor, ErbB-2 Breast Neoplasms Radiomics Middle Aged
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Tuning antibody stability and function by rational designs of framework mutations.

mAbs Jul 13, 2025
Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. These approaches, however, often focus on the antibody complementarity-determining region (CDR) whilst ignoring the i...
Humans Mutation Molecular Dynamics Simulation Protein Stability Receptor, ErbB-2 Trastuzumab Protein Engineering Complementarity Determining Regions
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A computational study of cardiac glycosides from Vernonia amygdalina as PI3K inhibitors for targeting HER2 positive breast cancer.

Journal of computer-aided molecular design Jul 6, 2025
The PI3K/Akt pathway plays a crucial role in regulating a broad network of proteins involved in the proliferation of HER2-positive breast cancer. The ethyl acetate fraction of Vernonia amygdalina, which contains cardiac glycosides, has been shown to ...
Protein Kinase Inhibitors Phosphoinositide-3 Kinase Inhibitors Cardiac Glycosides Female Breast Neoplasms Molecular Docking Simulation Class I Phosphatidylinositol 3-Kinases Phosphatidylinositol 3-Kinases Molecular Dynamics Simulation Receptor, ErbB-2 Quantitative Structure-Activity Relationship Humans Machine Learning
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Multiomic integration reveals subtype-specific predictors of neoadjuvant treatment response in breast cancer.

Science advances Jul 4, 2025
Neoadjuvant therapy has been widely used in breast cancer, but treatment response varies among individuals. We conducted multiomic profiling on tumor samples from 149 Chinese patients with breast cancer across ERHER2, ERHER2, and ERHER2 subtypes, cat...
Receptor, ErbB-2 Receptors, Estrogen Treatment Outcome Machine Learning Neoadjuvant Therapy Prognosis DNA Methylation Female Breast Neoplasms Biomarkers, Tumor Middle Aged Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans
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Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Scientific reports Jul 2, 2025
Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concern of women. Breast cancer etiology implicates numerous cellular protein receptors such as estrogen receptors (ER), progesterone receptors (PR), and hu...
Humans Prognosis Female Breast Neoplasms Biomarkers, Tumor Gene Expression Profiling Triple Negative Breast Neoplasms Transcriptome Support Vector Machine Gene Regulatory Networks Receptor, ErbB-2 Gene Expression Regulation, Neoplastic
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Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides.

Nature communications Jul 1, 2025
Accurate risk stratification is critical for guiding treatment decisions in early breast cancer. We present an artificial intelligence (AI)-based tool that analyzes digitized tumor slides to predict 5-year metastasis-free survival (MFS) in patients w...
Receptor, ErbB-2 Receptors, Estrogen Risk Assessment Humans Deep Learning Prognosis Neoplasm Recurrence, Local Adult Female Neoplasm Metastasis Breast Neoplasms Aged Middle Aged
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Efficacy and safety of first-line CDK4/6 inhibitors plus AI therapy for patients with HR +/HER2- advanced breast cancer: a network meta-analysis.

BMC cancer May 8, 2025
BACKGROUND: CDK4/6 inhibitors plus aromatase inhibitors (AI) significantly improve the therapeutic effect of initial treatment for HR + /HER2- advanced breast cancer. However, there is a lack of head-to-head randomized controlled trials involving the...
Aminopyridines Cyclin-Dependent Kinase 4 Receptor, ErbB-2 Cyclin-Dependent Kinase 6 Benzimidazoles Antineoplastic Combined Chemotherapy Protocols Aromatase Inhibitors Network Meta-Analysis as Topic Humans Receptors, Estrogen Protein Kinase Inhibitors Treatment Outcome Female Purines Randomized Controlled Trials as Topic Breast Neoplasms Receptors, Progesterone Progression-Free Survival
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Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Biochemical and biophysical research communications Apr 26, 2025
Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth in breast tissue. Human Epidermal growth factor Receptor 2 (HER2) proteins play a vital role in regulating normal breast cell development and divisio...
Humans Neural Networks, Computer Algorithms Female Breast Neoplasms Image Processing, Computer-Assisted Receptor, ErbB-2
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Options for postoperative radiation therapy in patients with de novo metastatic breast cancer.

Breast (Edinburgh, Scotland) Apr 23, 2025
BACKGROUND: Although meta-analyses have demonstrated survival benefits associated with primary tumor resection in MBC, guidelines lack consensus on the survival benefit of postoperative radiation therapy (RT).
Receptor, ErbB-2 Postoperative Period Radiotherapy, Adjuvant Propensity Score Humans Risk Assessment Machine Learning Postoperative Care Prognosis SEER Program Aged Female Adult Breast Neoplasms Middle Aged
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